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--- |
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base_model: meta-llama/Llama-2-13b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Llama-2-13b-hf-ds_wiki_1024_full_r_64_alpha_16 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Llama-2-13b-hf-ds_wiki_1024_full_r_64_alpha_16 |
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This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1614 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2264 | 0.1 | 51 | 1.1930 | |
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| 1.2074 | 0.2 | 102 | 1.1818 | |
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| 1.1872 | 0.3 | 153 | 1.1759 | |
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| 1.2033 | 0.4 | 204 | 1.1718 | |
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| 1.1837 | 0.5 | 255 | 1.1691 | |
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| 1.2006 | 0.6 | 306 | 1.1667 | |
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| 1.1817 | 0.7 | 357 | 1.1648 | |
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| 1.2066 | 0.8 | 408 | 1.1630 | |
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| 1.1766 | 0.9 | 459 | 1.1614 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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